Andrew Lin
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- Pituitary Gland Disorders and Treatments
Papers in
- Genetics 22
- Glioma Diagnosis and Treatment 22
-
- Pituitary Gland Disorders and Treatments 14
- Co-authors
- David H. Gutmann (1 shared paper)Viviane Tabar (14 shared papers)Eliza B. Geer (11 shared papers)Robert J. Young (9 shared papers)Lisa M. DeAngelis (4 shared papers)Jonathan T. Yang (8 shared papers)Marc K. Rosenblum (7 shared papers)Marc A. Cohen (7 shared papers)
- Journals
- Neuro-Oncology (5 papers)Pituitary (4 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)Journal of Neuro-Oncology (2 papers)Neurology (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Andrew Lin
34 papers receiving 534 citations
Peers
Comparison fields: 5 of 82
- Genetics 292
- Endocrinology, Diabetes and Metabolism 226
- Neurology 105
- Family Practice 11
- Modeling and Simulation 22
Countries citing papers authored by Andrew Lin
This map shows the geographic impact of Andrew Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Lin more than expected).
Fields of papers citing papers by Andrew Lin
This network shows the impact of papers produced by Andrew Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew Lin. The network helps show where Andrew Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 113 | |
| 2 | 2013 | 54 | |
| 3 | 2020 | 32 | |
| 4 | 2021 | 30 | |
| 5 | 2019 | 26 | |
| 6 | 2019 | 26 | |
| 7 | 2022 | 23 | |
| 8 | 2019 | 22 | |
| 9 | 2011 | 21 | |
| 10 | 2016 | 20 | |
| 11 | 2016 | 18 | |
| 12 | 2013 | 16 | |
| 13 | 2015 | 16 | |
| 14 | 2020 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2019 | 12 | |
| 17 | 2010 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 1998 | 9 | |
| 20 | 2023 | 9 |
About Andrew Lin
Andrew Lin is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Epidemiology, Pulmonary and Respiratory Medicine and Surgery, having authored 38 papers that have together received 541 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (22 papers), Pituitary Gland Disorders and Treatments (14 papers), Brain Metastases and Treatment (8 papers), Meningioma and schwannoma management (8 papers), Cancer Genomics and Diagnostics (4 papers), PARP inhibition in cancer therapy (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Genetics (292 citations), Endocrinology, Diabetes and Metabolism (226 citations), Neurology (105 citations), Family Practice (11 citations) and Modeling and Simulation (22 citations). Andrew Lin has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include David H. Gutmann, Viviane Tabar, Eliza B. Geer, Robert J. Young, Lisa M. DeAngelis, Jonathan T. Yang, Marc K. Rosenblum, Marc A. Cohen, John Cuaron and Philip Jonsson. Their work appears in journals such as Neuro-Oncology, Pituitary, The Journal of Clinical Endocrinology & Metabolism, Journal of Neuro-Oncology and Neurology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.